Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Genetic trends and genetic correlations between 305-day milk yield, persistency and somatic cell score of Holstein cows in Brazil using random regression model

A. Haiduck Padilha A , E. P. M. Alfonzo A , D. S. Daltro A B , H. A. L. Torres A , J. Braccini Neto A and J. A. Cobuci A
+ Author Affiliations
- Author Affiliations

A Federal University of Rio Grande do Sul, Department of Animal Science, Porto Alegre, RS 91540-000, Brazil.

B Corresponding author. Email: darlenedaltro@gmail.com

Animal Production Science - https://doi.org/10.1071/AN16835
Submitted: 24 December 2016  Accepted: 10 November 2017   Published online: 7 February 2018

Abstract

The objective was to estimate genetic correlations for persistency, milk yield and somatic cell score (SCS) in Holstein cattle in Brazil. A dataset with 190 389 records of test-day milk and of test-day SCS from 21 824 cows was used. Two-trait random regression model with a fourth order Legendre polynomial was used. Persistency (PS) was defined as the difference between estimated breeding values (EBV) along different days in milk using two formulae: AN16835_E1a.gif and PS2 = (EBV290 – EBV90). Larger values for PS2 or lower ones for PS1 indicate higher persistency. Heritability was 0.24 for 305-day milk yield, 0.14 for SCS up to 305 days, 0.15 for PS1 and 0.14 for PS2. Genetic correlation between 305-day milk yield and SCS up to 305 days was –0.47. Genetic correlation of 305-day milk yield with PS1 and PS2 was –0.32 and 0.30, respectively. Genetic correlation of SCS up to 305 days was 0.25 with PS1 and –0.20 with PS2. The additive genetic correlations between milk yield, SCS and persistency showed that selection for higher persistency or for low somatic cell score will increase 305-day milk yield.

Additional keywords: dairy cattle, genetic selection, heritability, mastitis.


References

Abdullahpour R, Shahrbabak MM, Nejati-Javaremi A, Torshizi RV, Mrode R (2013) Genetic analysis of milk yield, fat and protein content in Holstein dairy cows in Iran: Legendre polynomials random regression model applied. Archiv fur Tierzucht 56, 497–508.

Araújo CV, Torres RA, Costa CV, Filho RAT, Araújo SI, Lopes PS, Regazzi AJ, Pereira CP, Sarmento JLR (2006) Random regressions models to describe the genetic variation of milk yield in Holstein breed. Revista Brasileira de Zootecnia 35, 975–981.

Biassus IO, Cobuci JA, Costa CN, Rorato PRN, Neto JB, Cardoso LL (2010) Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models. Revista Brasileira de Zootecnia 39, 2617–2624.
Persistence in milk, fat and protein production of primiparous Holstein cows by random regression models.CrossRef |

Boligon AA, Rorato PRN, Ferreira GBB, Weber T, Kippert CJ, Andreazza J (2005) Heritability and genetic trend for milk and fat yields in Holstein herds raised in the state of Rio Grande do Sul. Revista Brasileira de Zootecnia 34, 1512–1518.
Heritability and genetic trend for milk and fat yields in Holstein herds raised in the state of Rio Grande do Sul.CrossRef |

Chegini A, Shadparvar AA, Ghavi Hossein-Zadeh N (2013) Genetic trends for milk yield, persistency of milk yield, somatic cell count and calving interval in Holstein dairy cows of Iran. Journal of Applied Animal Science 3, 503–508.

Cobuci JA, Costa CN (2012) Persistency of lactation using random regression models and different fixed regression modeling approaches. Revista Brasileira de Zootecnia 41, 1996–2004.
Persistency of lactation using random regression models and different fixed regression modeling approaches.CrossRef |

Cobuci JA, Euclydes RF, Costa CN, Lopes PS, Torres RA, Pereira CS (2004) Análises da persistência na lactação de vacas da raça Holandesa, usando produção no dia do controle e modelo de regressão aleatória. Revista Brasileira de Zootecnia 33, 546–554.
Análises da persistência na lactação de vacas da raça Holandesa, usando produção no dia do controle e modelo de regressão aleatória.CrossRef |

Cobuci JA, Euclydes RF, Lopes PS, Costa CN, Torres RA, Pereira CS (2005) Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model. Genetics and Molecular Biology 28, 75–83.
Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model.CrossRef |

Cobuci JA, Euclydes RF, Costa CN, Torres RA, Lopes PS, Pereira CS (2007) Genetic evaluation for persistency of lactation in Holstein cows using a random regression model. Genetics and Molecular Biology 30, 349–355.
Genetic evaluation for persistency of lactation in Holstein cows using a random regression model.CrossRef |

Costa CN, Melo CMR, Packer IU, Freitas AF, Teixeira NM, Cobuci JA (2008) Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendre polynomials. Revista Brasileira de Zootecnia 37, 602–608.
Genetic parameters for test day milk yield of first lactation Holstein cows estimated by random regression using Legendre polynomials.CrossRef |

Costa CN, Santos GG, Cobuci JA, Thompson G, Carvalheira JGV (2015) Genetic parameters for test day somatic cell score in Brazilian Holstein cattle. Genetics and Molecular Research 14, 19117–19127.
Genetic parameters for test day somatic cell score in Brazilian Holstein cattle.CrossRef | 1:CAS:528:DC%2BC28XhsVWisrnL&md5=a0ee7850d4f717336d461196df39f3e2CAS |

Dobson H, Smith RF, Royal MD, Knight CH, Sheldon IM (2007) The high-producing dairy cow and its reproductive performance. Reproduction in Domestic Animals 42, 17–23.
The high-producing dairy cow and its reproductive performance.CrossRef |

Gutiérrez JP, Goyache F (2005) A note on ENDOG: a computer program for analysing pedigree information. Journal of Animal Breeding and Genetics 122, 172–176.
A note on ENDOG: a computer program for analysing pedigree information.CrossRef |

Hagiya K, Yamazaki T, Nagamine Y, Togashi K, Yamaguchi S, Gotoh Y, Kawahara T, Masuda Y, Suzuki M (2014) Genetic correlations between production and disease traits during first lactation in Holstein cows. Animal 8, 217–223.
Genetic correlations between production and disease traits during first lactation in Holstein cows.CrossRef | 1:CAS:528:DC%2BC2cXptlShsQ%3D%3D&md5=a8222741691ccab4125cff5859761788CAS |

Haiduck Padilha A, Costa CN, Braccini Neto J, Daltro DS, Cobuci JA (2017) Selecting random regression models under different minimum number of test day records. Livestock Science 199, 69–73.
Selecting random regression models under different minimum number of test day records.CrossRef |

Hossein-Zadeh NG (2017) Application of growth models to describe the lactation curves for test-day milk production in Holstein cows. Journal of Applied Animal Research 45, 145–151.
Application of growth models to describe the lactation curves for test-day milk production in Holstein cows.CrossRef |

Jakobsen JH, Madsen P, Jensen J, Pedersen J, Christensen LG, Sorensen DA (2002) Genetic parameters for milk production and persistency for Danish Holstein estimated in random regression models using REML. Journal of Dairy Science 85, 1607–1616.
Genetic parameters for milk production and persistency for Danish Holstein estimated in random regression models using REML.CrossRef | 1:CAS:528:DC%2BD38Xlt1Srt74%3D&md5=134b8054a6923fba04edf018751c2e6cCAS |

Katok N, Yanar M (2012) Milk traits and estimation of genetic, phenotypic and environmental trends for milk and milk fat yields in Holstein Friesian cows. International Journal of Agriculture and Biology 14, 311–314.

Khorshidie R, Shadparvar AA, Ghavi Hossein-Zadeh N, Joezy Shakalgurabi S (2012) Genetic trends for 305-day milk yield and persistency in Iranian Holsteins. Livestock Production Science 144, 211–217.
Genetic trends for 305-day milk yield and persistency in Iranian Holsteins.CrossRef |

Kirkpatrick M, Thompson R, Hill WG (1994) Estimating of covariance structure of traits during growth and ageing, illustrated with lactation in dairy cattle. Genetical Research 64, 57–69.
Estimating of covariance structure of traits during growth and ageing, illustrated with lactation in dairy cattle.CrossRef | 1:STN:280:DyaK2M%2FkslejtQ%3D%3D&md5=fe733a9ecda3afa415b3a05e17c4e2fcCAS |

Koivula M, Mäntysaari EA, Negussie E, Serenius T (2005) Genetic and phenotypic relationships among milk yield and somatic cell count before and after clinical mastitis. Journal of Dairy Science 88, 827–833.
Genetic and phenotypic relationships among milk yield and somatic cell count before and after clinical mastitis.CrossRef | 1:CAS:528:DC%2BD2MXpsFKrtQ%3D%3D&md5=333ef0cd0331f66dc926d6795975824eCAS |

Konstantinov KV, Beard KT, Goddard ME, Van Der Werf JHJ (2009) Genetic evaluation of Australian dairy cattle for somatic cell scores using multi-trait random regression test-day model. Journal of Animal Breeding and Genetics 126, 209–215.
Genetic evaluation of Australian dairy cattle for somatic cell scores using multi-trait random regression test-day model.CrossRef | 1:STN:280:DC%2BD1MrivVGrtw%3D%3D&md5=bba30538196447d3785fd8b1f169c28bCAS |

Martins AM, Silvestre AM, Petim-Batista MF, Colaço JA (2011) Somatic cell score genetic parameter estimates of dairy cattle in Portugal using fractional polynomials. Journal of Animal Science 89, 1281–1285.
Somatic cell score genetic parameter estimates of dairy cattle in Portugal using fractional polynomials.CrossRef | 1:CAS:528:DC%2BC3MXls1Oitb4%3D&md5=1a5de23088f28541afd26344456fcd2aCAS |

Misztal I (2014) REMF90 manual. Available at: http:nce.ads.uga.edu/~ignacy/numpub/blupf90/docs/blupf90.pdf [Verified 10 October 2014]

Muir BL, Kistemaker G, Jamrozik J, Canavesi F (2007) Genetic parameters for a multiple-trait multiple-lactation random regression test-day model in Italian Holsteins. Journal of Dairy Science 90, 1564–1574.
Genetic parameters for a multiple-trait multiple-lactation random regression test-day model in Italian Holsteins.CrossRef | 1:CAS:528:DC%2BD2sXitlWmsrg%3D&md5=2c08100f2ebb862a13f1ac954921b4b3CAS |

Ptak E, Brzozowski P, Jagusiak W, Zdziarski K (2007) Genetic parameters for somatic cell score for Polish Black-and-White cattle estimated with a random regression model. Journal of Animal and Feed Sciences 16, 357–369.
Genetic parameters for somatic cell score for Polish Black-and-White cattle estimated with a random regression model.CrossRef |

Remppis S, Steingass H, Gruber L, Schenkel H (2011) Effects of energy intake on performance, mobilization and retention of body tissue, and metabolic parameters in dairy cows with special regard to effects of pre-partum nutrition on lactation - a review. Asian-Australasian Journal of Animal Sciences 24, 540–572.
Effects of energy intake on performance, mobilization and retention of body tissue, and metabolic parameters in dairy cows with special regard to effects of pre-partum nutrition on lactation - a review.CrossRef | 1:CAS:528:DC%2BC3MXlvFWlurg%3D&md5=d2a55445b2472aa1ace335bdebc0a1ceCAS |

Rendel JM, Robertson A (1950) Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle. Journal of Genetics 50, 1–8.
Estimation of genetic gain in milk yield by selection in a closed herd of dairy cattle.CrossRef | 1:STN:280:DyaG3M%2FpvVWjtQ%3D%3D&md5=8a06fd34bb35f19b380f18c05bb511aaCAS |

Rzewuska K, Jamrozik J, Żarnecki A, Strabel T (2011) Genetic parameters of test-day somatic cell scores for the first three lactations of Polish Holstein-Friesian cattle. Czech Journal of Animal Science 56, 381–389.

Sadeghi-Sefidmazgi A, Moradi-Shahrbabak M, Nejati-Javaremi A, Miraei-Ashtiani SR, Am PR (2011) Estimation of economic values and financial losses associated with clinical mastitis and somatic cell score in Holstein dairy cattle. Animal 5, 33–42.
Estimation of economic values and financial losses associated with clinical mastitis and somatic cell score in Holstein dairy cattle.CrossRef | 1:STN:280:DC%2BC38vovFajsg%3D%3D&md5=e1b5f8d7d403a08890b23793f47a143bCAS |

Sargolzaei M, Iwaisaki H, Colleau JJ (2006) CFC: a tool for monitoring genetic diversity. In ‘Proceedings of the 8th world congress on genetics applied to livestock production’. (Ed. WCGALP) pp. 27–28. (Congress on Genetics Applied to Livestock Production Inc.: Belo Horizonte, Minas Gerais, Brazil)

Savegnago RP, Rosa GJM, Valente BD, Herrera LGG, Carneiro RLR, Sesana RC, El Faro L, Munari DP (2013) Estimates of genetic parameters and eigenvector indices for milk production of Holstein cows. Journal of Dairy Science 96, 7284–7293.
Estimates of genetic parameters and eigenvector indices for milk production of Holstein cows.CrossRef | 1:CAS:528:DC%2BC3sXhsVOksbfN&md5=0a2afe183029d2baa71c27f44ec35856CAS |

Silva MHMA, Malhado CHM, Costa JL, Cobuci JA, Costa CN, Carneiro PLS (2016) Population genetic structure in the Holstein breed in Brazil. Tropical Animal Health and Production 48, 331–336.
Population genetic structure in the Holstein breed in Brazil.CrossRef |

Torshizi ME, Aslamenejad A, Nassiri M, Farhangfar H, Solkner J, Kovac M, Meszaros G, Malovrh S (2012) Evaluation of test day milk yield in Iranian primiparous Holstein using different random regression models. Journal of Animal Science Advances 2, 664–667.

Torshizi ME, Aslamenejad AA, Nassiri MR, Farhangfar H, Solkner J, Kovac M, Meszaros G, Malovrh S (2013) Analysis of test day milk yield by random regression models and evaluation of persistency in Iranian dairy cows. Journal of Applied Animal Research 3, 67–76.

Weller JI, Ezra E (2004) Genetic analysis of the Israeli Holstein dairy cattle population for production and nonproduction traits with a multitrait animal model. Journal of Dairy Science 87, 1519–1527.
Genetic analysis of the Israeli Holstein dairy cattle population for production and nonproduction traits with a multitrait animal model.CrossRef | 1:CAS:528:DC%2BD2cXjvF2jsb4%3D&md5=c553e7d89a7e335bc612971358f9136bCAS |

Weller JI, Ezra E, Leitner G (2006) Genetic analysis of persistency in the Israeli Holstein population by the multitrait animal model. Journal of Dairy Science 89, 2738–2746.
Genetic analysis of persistency in the Israeli Holstein population by the multitrait animal model.CrossRef | 1:CAS:528:DC%2BD28XmsVOltbs%3D&md5=5d9a0e93fb16d2eed2db74dbb57ddb6dCAS |

Yamazaki T, Hagiya K, Takeda H, Sasaki O, Yamaguchi S, Sogabe M, Saito Y, Nakagawa S, Togashi K, Suzuki K, Nagamine Y (2013) Genetic correlations between milk production traits and somatic cell scores on test day within and across first and second lactations in Holstein cows. Livestock Science 152, 120–126.
Genetic correlations between milk production traits and somatic cell scores on test day within and across first and second lactations in Holstein cows.CrossRef |



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